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Staff Distributed Systems Engineer (9260, 9261) - Remote US

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United States
Extreme Networks

Job Description

Extreme Networks Named to Computerworld’s 2023 List of Best Places to Work in IT!Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before and with double digit growth year over year, no provider is better positioned to deliver better outcomes on scale, than Extreme.We believe in “walking the walk” of our strong core values which enable us to successfully advance together. Diversity and Inclusion is a vital part of our values and beliefs, and we’re proud to foster an environment where every Extreme employee can thrive. Come become part of something big with us! We are a global leader, with hubs in North America, South America, Asia Pacific, Europe, and the Middle East.
Staff Distributed Systems Engineer - Big Data (9262)Experience: 9 to 12 years
About the Position
Are you energized by the idea of innovating with generative AI? Do you aspire to create a global impact while tackling challenges at the forefront of machine learning? Do you want to be part of the team working on ground-breaking products that define the future of AI-driven network management? Then come, advance with us. This is an incredible opportunity to innovate new networking experiences while working at the cutting edge of IOT, big data, cloud computing, ML and generative AI. This is a greenfield project in which you will help define every aspect of user and product experience and drive significant portions of the technical and scientific roadmaps.
There has never been a better time to join Extreme, after several acquisitions extending our portfolio and go-to market strategy, we have seen enormous opportunity and growth within the regions. Aside from being a Technology Leader in the Gartner Magic Quadrant, we also adamantly promote an internal culture that truly embraces diversity, inclusion, and equality in the workplace. Having Diversity and Inclusion as part of our core values and beliefs, we’re proud to foster an environment where every Extreme employee can thrive because of their differences, not despite them. Our moto here at Extreme is ‘Advance with us’ and it applies to everyone we work with – inside and outside the company.
Our group is responsible for developing core solutions in data mining, machine learning, anomaly detection and natural language processing, positively impacting multiple existing Extreme flagship products and new offerings from the company. We are spearheading a fundamental shift in how businesses think about managing their wired and wireless networks by building high-performance, real-time multi-agent systems that can perceive, learn, and act intelligently on behalf of humans. As a part of this group, you will constantly experiment with new technologies, innovate best-in class networking experiences, and launch state of the art machine learning and data mining solutions.


  • Design, develop, and launch strategic data mining solutions, driving business-wide innovation utilizing AI and analytical techniques at scale.
  • Take full ownership of the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, engage in technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
  • Participate in the development of highly scalable platforms for extracting, analyzing and processing large amounts of contextual data from a plethora of sources, both in real-time and in batch modes.
  • Develop large-scale knowledge graphs through semantically linking information and datasets from across multiple product and technical domains.
  • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.

Basic Qualifications

  • Degree in mathematics/computer science or related discipline.
  • 9+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 6+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java.
  • Experience working with distributed and big data technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, NoSQL, etc.).

Preferred Qualifications:

  • MS or PhD in Computer Science or equivalent experience.
  • Experience working with large-scale distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience dealing with real world large-scale datasets.
  • Strong understanding and passion for statistical/mathematical modelling and data analysis.
  • Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

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